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Programming Scala: Tackle Multi-Core Complexity on the Java Virtual Machine (Pragmatic Programmers)

Python Machine Learning 2nd Edition - Sebastian Raschka and Vahid Mirjalili

Real-World Machine Learning - Henrik Brink, Joseph W. Richards and Mark Fetherolf

Reliable Machine Learning - Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, and Todd Underwood

TensorFlow Machine Learning Cookbook - Nick McClure

Deploy Machine Learning Models to Production

Building Machine Learning Powered Applications - Emmanuel Ameisen

Building Machine Learning Pipelines - Hannes Hapke and Catherine Nelson

Machine Learning with R, the tidyverse, and mlr - Hefin I. Rhys

Pattern Recognition with Support Vector Machines

Clojure for Machine Learning - Akhil Wali

Graph-Powered Analytics and Machine Learning with TigerGraph - Victor Lee, Phuc Kien Nguyen, and Alexander Thomas

Optimization for Machine Learning - Suvrit Sra, Sebastian Nowozin and Stephen J. Wright

Machine Learning Interviews - Susan Shu Chang

Machine Learning Engineering - Andriy Burkov

Practical Machine Learning for Computer Vision - Valliappa Lakshmanan, Martin Görner, and Ryan Gillard

Natural Language Annotation for Machine Learning - James Pustejovsky and Amber Stubbs

Scaling Up Machine Learning - Ron Bekkerman, Mikhail Bilenko and John Langford

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